A novel estimation method for capillary pressure curves based on routine core analysis data using artificial neural networks optimized by Cuckoo algorithm – A case study

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A novel estimation method for capillary pressure curves based on routine core analysis data using artificial neural networks optimized by Cuckoo algorithm – A case study

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A novel estimation method for capillary pressure curves based on routine core analysis data using artificial neural networks optimized by Cuckoo algorithm – A case study is a scholarly article[1].

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  • A novel estimation method for capillary pressure curves based on routine core analysis data using artificial neural networks optimized by Cuckoo algorithm – A case study's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A novel estimation method for capillary pressure curves based on routine core analysis data using artificial neural networks optimized by Cuckoo algorithm – A case study. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-estimation-method-for-capillary-pressure-curves-based-on-routine-core-analysis-data-using-artificial-neural-netw
MLA “A novel estimation method for capillary pressure curves based on routine core analysis data using artificial neural networks optimized by Cuckoo algorithm – A case study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-estimation-method-for-capillary-pressure-curves-based-on-routine-core-analysis-data-using-artificial-neural-netw.
BibTeX @misc{4ortxyz_a-novel-estimation-method-for-capillary-pressure-curves-based-on-routine-core-analysis-data-using-artificial-neural-netw_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel estimation method for capillary pressure curves based on routine core analysis data using artificial neural networks optimized by Cuckoo algorithm – A case study}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-estimation-method-for-capillary-pressure-curves-based-on-routine-core-analysis-data-using-artificial-neural-netw}, note = {Accessed: 2026-05-24}}
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